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QA Automation Engineer with 3+ years in Manual & Automation Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Automation Engineer with 3.5+ years of experience in Manual and Automation Testing using Python, Selenium, and PyTest. Expertise in building scalable automation frameworks, API testing, and CI/CD integration. Reduced manual testing effort by 60% and improved test coverage to 95%. Experienced in OTT and Smart TV platforms (Android TV, LG webOS). Seeking remote opportunities to contribute to high-quality product delivery.
Jain University
MCA
August 1, 2025 – Present
Sri Vivekananda Degree College
BSc
N/A – June 30, 2021
LG Soft India Pvt. Ltd
QA & Automation Engineer
October 1, 2022 – Present
India
LG webOS TV Platform
December 1, 2024 – June 1, 2026
Led end-to-end testing (Manual + Automation) for LG Smart TV platform features and OTT applications across multiple environments. Designed and executed comprehensive test strategies including functional regression, integration and end-to-end testing. Achieved ~95% test coverage by developing detailed test scenarios, test cases, and scalable automation suites. Built and maintained optimized automation frameworks using Selenium-Python automation scripts, reducing execution time by 30%. Implemented data-driven and modular framework design to enhance reusability, maintainability, and scalability. Collaborated with cross-functional teams using JIRA, reducing defect leakage by 20%. Validated UI/UX, performance, and compatibility across multiple TV models and environments.
WEE TV Platform (TopTech, Morestar, CVTE)
January 1, 2023 – June 1, 2026
Performed system integration testing for TV settings, IoT integrations, and middleware components across multiple environments. Automated key modules such as reports and settings using selenium WebDriver and Python, improving test efficiency. Implemented data-driven testing approaches for validating multiple datasets and edge cases, and boundary conditions. Executed end-to-end testing cycles for every release ensuring zero critical defects in production. Maintained regression suites and executed release cycles, ensuring stability and zero critical defects. Validated certification test cases for OTT apps like YouTube, Netflix and performed log analysis to debug issues across distributed systems.
Software Testing & Automation Training
Unknown
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience across multiple projects and platforms (WEE TV, LG webOS) indicates adaptability and a broad skill set. Their involvement in mentoring and knowledge sharing suggests a collaborative and team-oriented approach. The focus on continuous improvement and defect reduction aligns well with a culture that values quality and efficiency. The candidate's current enrollment in an MCA program while working full-time also shows a commitment to continuous learning and professional development.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile environments, collaboration with cross-functional teams, and mentoring junior QA members. Their ability to conduct root cause analysis and refine requirements indicates a proactive and problem-solving mindset. The 'High Achievers Award' further suggests strong performance and contribution to quality improvement.